Top Tech Jobs & Startup Jobs in Charlotte, NC

The Software Engineering Manager will lead Agile teams, oversee technical design, ensure project delivery, and drive an AI-first culture.

Lead multiple Agile teams to deliver high-quality software solutions, focusing on technical design, project execution, and alignment with business goals.

Lead support improvements in healthcare software applications, act as a product expert for customer support, and optimize support processes across teams. Responsibilities include supporting technical teams, training, conducting investigations, and improving product supportability.

As a Principal Software Data Engineer, you'll lead the design, development, and optimization of large-scale data platforms and pipelines, ensuring data governance and driving innovation in a collaborative environment.

As a Senior Application Engineer, you will develop AI agents using Salesforce Agentforce, create automations, and troubleshoot complex issues while collaborating with teams and mentoring junior engineers.

The Senior Software Engineer will develop and maintain big data applications, focusing on distributed computing, automation, and collaboration with teams to enhance healthcare solutions.

Lead end-to-end delivery of complex projects and embedded workstreams within enterprise transformation programs. Serve as primary client liaison, manage scope/budget/timeline, coordinate vendors and stakeholders, drive risk and change management, integrate OCM, and improve PMO capabilities using data and AI-enabled insights.

Design, develop, and implement enterprise Master Data Management solutions (preferably IBM MDM). Perform data profiling, write complex queries and procedures, troubleshoot incidents, collaborate with stakeholders, estimate efforts for RFPs, mentor junior staff, and support cloud migrations (AWS/Azure).

Design and implement database-driven, AI-enabled workflows using Microsoft Azure to automate data transformation, validation, and configuration. Integrate LLM services and RAG patterns, ensure production readiness with logging, monitoring, CI/CD, and data contracts, and collaborate with solution architects and cross-functional teams to scale repeatable automation across a healthcare SaaS platform.

Lead and orchestrate cross-team technical programs, translating strategy and OKRs into execution plans. Drive alignment, dependency visibility, and delivery health across product, platform, and infrastructure. Use metrics and AI-driven analytics to surface risks and improve flow. Coach teams on data-driven practices, influence stakeholders, and evolve systems, tools, and processes to scale delivery and outcomes.